Matches in SemOpenAlex for { <https://semopenalex.org/work/W4321488081> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4321488081 endingPage "10" @default.
- W4321488081 startingPage "1" @default.
- W4321488081 abstract "A fast piecewise-defined neural network (PDNN) method is presented to produce accurate atmospheric temperature and humidity profiles from satellite hyperspectral infrared and microwave observations in all-sky conditions. The PDNN method relies on a novel classification approach and a principal component-based neural network function to better capture the nonlinear relationship between the spectral radiances and atmospheric state vectors. The algorithm was designed to only rely on satellite measurements. Large datasets were used for network training to make the retrieval robust to random errors in the reference data. For each retrieved profile, an effective quality indicator was obtained by training against the absolute value of the retrieval error. In addition, a reliable rain cloud flag was generated based on the scattering difference of cloud particles between the 50 and 118 GHz channels. Besides the independent reanalysis field data, the algorithm’s performance was also evaluated using radiosonde measurements. Preliminary validation shows that the best temperature retrieval occurred in the mid-troposphere (around 1.0 K). Depending on the reference data, errors in the boundary layer typically ranged from 1.8 K to 2.5 K. For water vapor, the retrieval error was less than 22% in the low-troposphere and less than 35% in the mid-and upper-troposphere when validated against the reanalysis field. The humidity error was approximately 10% lower when compared to radiosondes. The PDNN is used operationally to produce atmospheric temperature and moisture soundings from the Vertical Atmospheric Sounding System of the FengYun-3E satellite, an early-morning-orbit meteorological satellite launched in 2021." @default.
- W4321488081 created "2023-02-23" @default.
- W4321488081 creator A5026548664 @default.
- W4321488081 creator A5030941717 @default.
- W4321488081 creator A5046115361 @default.
- W4321488081 creator A5048587663 @default.
- W4321488081 creator A5056536888 @default.
- W4321488081 creator A5088560873 @default.
- W4321488081 date "2023-01-01" @default.
- W4321488081 modified "2023-10-12" @default.
- W4321488081 title "A Fast Piecewise-Defined Neural Network Method to Retrieve Temperature and Humidity Profile for the Vertical Atmospheric Sounding System of FengYun-3E Satellite" @default.
- W4321488081 cites W1997611286 @default.
- W4321488081 cites W2044560265 @default.
- W4321488081 cites W2055249140 @default.
- W4321488081 cites W2100452085 @default.
- W4321488081 cites W2103102961 @default.
- W4321488081 cites W2105799512 @default.
- W4321488081 cites W2144324887 @default.
- W4321488081 cites W2180832878 @default.
- W4321488081 cites W2297555836 @default.
- W4321488081 cites W2593232980 @default.
- W4321488081 cites W2758235939 @default.
- W4321488081 cites W2953599446 @default.
- W4321488081 cites W2998046906 @default.
- W4321488081 cites W3001957251 @default.
- W4321488081 cites W3034862025 @default.
- W4321488081 cites W3046212944 @default.
- W4321488081 cites W3108794887 @default.
- W4321488081 cites W3137442780 @default.
- W4321488081 cites W3165428335 @default.
- W4321488081 cites W3201143527 @default.
- W4321488081 cites W3212491815 @default.
- W4321488081 doi "https://doi.org/10.1109/tgrs.2023.3247776" @default.
- W4321488081 hasPublicationYear "2023" @default.
- W4321488081 type Work @default.
- W4321488081 citedByCount "2" @default.
- W4321488081 countsByYear W43214880812023 @default.
- W4321488081 crossrefType "journal-article" @default.
- W4321488081 hasAuthorship W4321488081A5026548664 @default.
- W4321488081 hasAuthorship W4321488081A5030941717 @default.
- W4321488081 hasAuthorship W4321488081A5046115361 @default.
- W4321488081 hasAuthorship W4321488081A5048587663 @default.
- W4321488081 hasAuthorship W4321488081A5056536888 @default.
- W4321488081 hasAuthorship W4321488081A5088560873 @default.
- W4321488081 hasConcept C111368507 @default.
- W4321488081 hasConcept C11999413 @default.
- W4321488081 hasConcept C121332964 @default.
- W4321488081 hasConcept C127313418 @default.
- W4321488081 hasConcept C1276947 @default.
- W4321488081 hasConcept C147534773 @default.
- W4321488081 hasConcept C147947694 @default.
- W4321488081 hasConcept C153294291 @default.
- W4321488081 hasConcept C19269812 @default.
- W4321488081 hasConcept C196558001 @default.
- W4321488081 hasConcept C39432304 @default.
- W4321488081 hasConcept C55510283 @default.
- W4321488081 hasConcept C607359 @default.
- W4321488081 hasConcept C62649853 @default.
- W4321488081 hasConcept C86338904 @default.
- W4321488081 hasConcept C9075549 @default.
- W4321488081 hasConceptScore W4321488081C111368507 @default.
- W4321488081 hasConceptScore W4321488081C11999413 @default.
- W4321488081 hasConceptScore W4321488081C121332964 @default.
- W4321488081 hasConceptScore W4321488081C127313418 @default.
- W4321488081 hasConceptScore W4321488081C1276947 @default.
- W4321488081 hasConceptScore W4321488081C147534773 @default.
- W4321488081 hasConceptScore W4321488081C147947694 @default.
- W4321488081 hasConceptScore W4321488081C153294291 @default.
- W4321488081 hasConceptScore W4321488081C19269812 @default.
- W4321488081 hasConceptScore W4321488081C196558001 @default.
- W4321488081 hasConceptScore W4321488081C39432304 @default.
- W4321488081 hasConceptScore W4321488081C55510283 @default.
- W4321488081 hasConceptScore W4321488081C607359 @default.
- W4321488081 hasConceptScore W4321488081C62649853 @default.
- W4321488081 hasConceptScore W4321488081C86338904 @default.
- W4321488081 hasConceptScore W4321488081C9075549 @default.
- W4321488081 hasFunder F4320321001 @default.
- W4321488081 hasFunder F4320335777 @default.
- W4321488081 hasLocation W43214880811 @default.
- W4321488081 hasOpenAccess W4321488081 @default.
- W4321488081 hasPrimaryLocation W43214880811 @default.
- W4321488081 hasRelatedWork W1974870221 @default.
- W4321488081 hasRelatedWork W2055890126 @default.
- W4321488081 hasRelatedWork W2092006650 @default.
- W4321488081 hasRelatedWork W2176628195 @default.
- W4321488081 hasRelatedWork W2318856281 @default.
- W4321488081 hasRelatedWork W2522654125 @default.
- W4321488081 hasRelatedWork W2799320788 @default.
- W4321488081 hasRelatedWork W3162875150 @default.
- W4321488081 hasRelatedWork W4321488081 @default.
- W4321488081 hasRelatedWork W2142539838 @default.
- W4321488081 hasVolume "61" @default.
- W4321488081 isParatext "false" @default.
- W4321488081 isRetracted "false" @default.
- W4321488081 workType "article" @default.